Principles of Data Science

DSC 10, Fall 2022 at UC San Diego

Suraj Rampure
he/him

rampure@ucsd.edu • Lecture(s): C00 (MWF 1-1:50PM, PCYNH 122)

Puoya Tabaghi
he/him

ptabaghi@ucsd.edu • Lecture(s): D00 (MWF 12-12:50PM, PCYNH 120)

Janine Tiefenbruck
she/her

jlobue@ucsd.edu • Lecture(s): A00 (MWF 10-10:50AM, CSB 001), B00 (MWF 11-11:50AM, CSB 001)

Lecture and discussion recordings can be found at podcast.ucsd.edu.

Week 0

Fri Sep 23

LEC 1 Introduction ✏️

CIT 1.2-1.3

SUR Beginning of Quarter Survey

Week 1

Mon Sep 26

LEC 2 Association and Causality ✏️

CIT 2, 2.1-2.5

DIS 1 Association and Causality

Wed Sep 28

LEC 3 Expressions and Data Types ✏️

BPD 1-6

Fri Sep 30

LEC 4 Strings and Arrays ✏️ (extra video)

BPD 7-8

Sat Oct 1

Lab 1 Expressions and Data Types

Week 2

Mon Oct 3

LEC 5 DataFrames: Accessing, Sorting, and Querying ✏️

BPD 9-10

DIS 2 Python Basics, Arrays, and DataFrames

Tue Oct 4

HW 1 Causality and Basic Python

Wed Oct 5

LEC 6 More Queries and GroupBy ✏️ (extra video)

BPD 10-11

Fri Oct 7

LEC 7 Data Visualization ✏️ (extra videos)

CIT 7, 7.1

Sat Oct 8

Lab 2 Arrays and DataFrames

Week 3

Mon Oct 10

LEC 8 Histograms and Overlaid Plots ✏️

CIT 7.2-7.3

DIS 3 Querying, Grouping, and Plotting

Tue Oct 11

HW 2 Arrays and DataFrames

Wed Oct 12

LEC 9 Functions and Apply ✏️

BPD 6, 12

Fri Oct 14

LEC 10 Grouping with Subgroups, Merging ✏️

BPD 11, 13

Sat Oct 15

Lab 3 Data Visualization and Python Functions

Week 4

Mon Oct 17

LEC 11 Conditional Statements and Iteration ✏️

CIT 9.1-9.2

DIS 4 Functions, Subgroups, Merge, and Control Flow

Tue Oct 18

HW 3 Data Visualization and Python Functions

Wed Oct 19

LEC 12 Probability (blank slides, annotated slides: A • B • C • D)

CIT 9.5

Fri Oct 21

LEC 13 Simulation ✏️

CIT 9.3-9.4

Sat Oct 22

Lab 4 DataFrames, Control Flow, and Probability

Week 5

Mon Oct 24

LEC 14 Distributions and Sampling ✏️

CIT 10.0-10.4

DIS 5 Probability and Simulation

Tue Oct 25

HW 4 DataFrames, Control Flow, and Probability

SUR Mid-Quarter Feedback Form

Wed Oct 26

LEC 15 Models and Viewpoints ✏️

CIT 11.0-11.1

Fri Oct 28

Exam Midterm Exam (in class) (logistics post)

Week 6

Mon Oct 31

LEC 16 Hypothesis Testing ✏️

CIT 11.2-11.4

DIS 6 Midterm Solutions and Hypothesis Testing

Tue Nov 1

PROJ Midterm Project: Spotify Charts

Wed Nov 2

LEC 17 TVD, Permutation Testing ✏️

CIT 12.0-12.1

Fri Nov 4

LEC 18 Permutation Testing, Bootstrapping ✏️

CIT 12.2-13.2

Sat Nov 5

Lab 5 Simulation, Sampling, and Hypothesis Testing

Week 7

Mon Nov 7

LEC 19 Bootstrapping, Percentiles, and Confidence Intervals ✏️

CIT 13.1-13.3

DIS 7 Hypothesis Testing and Permutation Testing

Tue Nov 8

HW 5 Simulation, Sampling, and Hypothesis Testing

Wed Nov 9

LEC 20 Confidence Intervals, Center and Spread ✏️

CIT 13.4-14.2

Fri Nov 11

No Lecture (Veterans Day 🎖️)

Sat Nov 12

Lab 6 Resampling and the Bootstrap

Week 8

Mon Nov 14

LEC 21 Spread, The Normal Distribution ✏️

CIT 14.3-14.4

DIS 8 Permutation Testing and Bootstrapping

Tue Nov 15

HW 6 Permutation Testing, Percentiles, and Bootstrapping

Wed Nov 16

LEC 22 The Normal Distribution, The Central Limit Theorem ✏️

CIT 14.4-14.5

Thu Nov 17

PROJ Final Project Checkpoint

Fri Nov 18

LEC 23 The Central Limit Theorem, Choosing Sample Sizes ✏️

CIT 14.6

Sat Nov 19

Lab 7 Center, Spread, and the Normal Distribution

Week 9

Mon Nov 21

LEC 24 Correlation ✏️

CIT 15, 15.1-15.2

DIS 9 The Normal Distribution and the CLT

Tue Nov 22

HW 7 Confidence Intervals, Normal Distributions, and the CLT

Wed Nov 23

LEC 25 Regression and Least Squares ✏️

CIT 15.2-15.4

Fri Nov 25

No Lecture (Thanksgiving 🦃)

Sat Nov 26

Lab 8 Regression

Week 10

Mon Nov 28

LEC 26 Residuals and Inference ✏️

CIT 15.5-16.3

DIS 10 Regression

Tue Nov 29

PROJ Final Project

Wed Nov 30

LEC 27 Review (solutions) ✏️

Fri Dec 2

LEC 28 Review, Conclusion (solutions posted after lecture)

Sat Dec 3

SUR End of Quarter Survey + CAPEs (due 8AM)

Exam Final Exam (11:30AM-2:30PM)